package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParamVo;
import com.atguigu.gulimall.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.license.LicensesStatus;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.*;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;
    // 去es进行检索
    @Override
    public SearchResult  search(SearchParamVo param) {
        //动态构建出查询需要的DSL语句

        SearchResult result = null;

        // 1. 准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);

        try {
            // 2. 执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

            // 3. 分析响应数据封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }


        return result;
    }
    /**
     * 准备检索请求
     * # 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParamVo param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); // 构建DSL语句的

        /**
         * 查询：过滤（按照属性，分类，品牌，价格区间，库存）
         */
        // 1. 构建了bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 1.1 must-模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        // 1.2 bool - filter - 按照三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catelogId", param.getCatalog3Id()));
        }
        // 1.2 bool - filter - 按照品牌id进行查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termQuery("brandId", param.getBrandId()));
        }
        // 1.2 bool - filter -+ 按照所有指定的属性进行查询
//
        if(param.getAttrs() != null && param.getAttrs().size() > 0){


            param.getAttrs().forEach(item -> {
                //attrs=1_5寸:8寸&2_16G:8G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();


                //attrs=1_5寸:8寸
                String[] s = item.split("_");
                String attrId=s[0];
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                boolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));

                NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs",nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQueryBuilder);
            });



        }

        // 1.2 bool - filter -+ 按照是否有库存进行查询
        if (param.getHasStock() != null) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }

        // 1.2 bool - filter -+ 按照价格区间进行查询

        /**
         *  "range": {
         *             "skuPrice": {
         *               "gte": 0,
         *               "lte": 6000
         *             }
         *           }
         */
        if (!StringUtils.isEmpty(param.getSkuPrice())) {

            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");

            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);
                }else {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        // 把以前的所有条件都拿来进行封装
        sourceBuilder.query(boolQuery);

        /**
         * 排序，分页，高亮
         */
        // 2.1 排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            // sort=hotSorce_asc/desc
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC:SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        // 2.2 分页
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.RRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.RRODUCT_PAGESIZE);

        // 2.3 高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();

            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }


        /**
         * 聚合分析
         */
        // 1. 品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);

        // 品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_age").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_image_age").field("brandImg").size(1));
        // TODO 1. 聚合brnad
        sourceBuilder.aggregation(brand_agg);
        // 2. 分类聚合 catelog_agg
        TermsAggregationBuilder catelog_agg = AggregationBuilders.terms("catelog_agg").field("catelogId").size(20);
        catelog_agg.subAggregation(AggregationBuilders.terms("catelog_name_agg").field("catalogName").size(1));
        // TODO 2. 聚合catelog
        sourceBuilder.aggregation(catelog_agg);
        // 3. 属性聚合 attr_agg

        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");

        // 聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        // 聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        // 聚合分析出当前attr_id对应的所有可能的属性值attr_Value
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);

        // TODO 3. 聚合attr
        sourceBuilder.aggregation(attr_agg);

        String s = sourceBuilder.toString();

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.RRODUCT_INDEX}, sourceBuilder);

        return searchRequest;
    }
    /**
     * 构建结果数据
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParamVo param) {
        System.out.println(response);
        SearchResult result = new SearchResult();

        // 1. 返回所有查询到的商品
        SearchHits hits = response.getHits();

        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }

                esModels.add(esModel);
            }
        }

        result.setProducts(esModels);

//        // 2. 当前商品所涉及到的所有属性信息
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");

        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 1. 得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            // 2. 得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            // 3. 得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
//        // 3. 当前商品所涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");

        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            // 1. 得到品牌的 id
            long brandId = bucket.getKeyAsNumber().longValue();
            // 2. 得到品牌的名称
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_age")).getBuckets().get(0).getKeyAsString();
            // 3. 得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_image_age")).getBuckets().get(0).getKeyAsString();

            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrandVos(brandVos);
//        // 4. 当前商品所涉及到的所有分类信息
        ParsedStringTerms catelog_agg = response.getAggregations().get("catelog_agg");

        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catelog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            // 得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            // 得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }

        result.setCatalogVos(catalogVos);
//        =======以上信息从聚合中获取=========
//        // 分页信息-页码
        result.setPageNum(param.getPageNum());
//        // 分页信息-总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
//        // 分页信息-总页码
        int totalPage = (int) (total % EsConstant.RRODUCT_PAGESIZE);
        int totalPages =  totalPage == 0 ? totalPage : (totalPage + 1);
        result.setTotalPages(totalPages);


        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            // 6. 构建面包屑导航功能
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                // 1. 分析每一个attrs传过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                // attrs=2_5寸:6寸
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                }else {
                    navVo.setNavName(s[0]);
                }
                // 2. 取消了面包屑之后，我们要跳转到那个地方，将请求地址的URL条件置空
                // 拿到所有的查询条件  去掉当前
                //
                String replace = replaceQueryString(param, attr, "attrs");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);


                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
        }

        // 品牌，分类
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            // TODO 远程查询品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode() == 0) {
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName()+ ";");
                     replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");

                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);

            }

            navs.add(navVo);
        }

         // TODO 分类：不需要导航取消



        return result;
    }

    private String replaceQueryString(SearchParamVo param, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");// 浏览器对空格的编码和java不一样
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+key+"=" + encode, "");
        return replace;
    }


}
